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researcher

Jiayu Zhou

9 papers hereh-index 565 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author6
  • last author3

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.AI2
  • cs.CL1
  • cs.CR1
same name
  • Jiayu Zhou — 15 papers, h 15
  • Jiayu Zhou — 11 papers, h 17
  • Jiayu Zhou — 7 papers, h 9
  • Jiayu Zhou — 5 papers, h 3
  • Jiayu Zhou — 4 papers, h 6
  • Jiayu Zhou — 3 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedDual-stage and Lightweight Patient Chart Summarization for Emergency Physicians

1 citations · 2 across the 9 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CR2025

Bitcoin Cross-Chain Bridge: A Taxonomy and Its Promise in Artificial Intelligence of Things

Guojun Tang, Carylyne Chan, Ning Nan +5

Bitcoin's limited scripting capabilities and lack of native interoperability mechanisms have constrained its integration into the broader blockchain ecosystem, especially decentral…

cs.CL2025★ 1 cited

Dual-stage and Lightweight Patient Chart Summarization for Emergency Physicians

Jiajun Wu, Swaleh Zaidi, Braden Teitge +4

Electronic health records (EHRs) contain extensive unstructured clinical data that can overwhelm emergency physicians trying to identify critical information. We present a two-stag…

cs.LG2025

Lightweight and Robust Federated Data Valuation

Guojun Tang, Jiayu Zhou, Mohammad Mamun +1

Federated learning (FL) faces persistent robustness challenges due to non-IID data distributions and adversarial client behavior. A promising mitigation strategy is contribution ev…

cs.LG2025

Owen Sampling Accelerates Contribution Estimation in Federated Learning

Hossein KhademSohi, Hadi Hemmati, Jiayu Zhou +1

Federated Learning (FL) aggregates information from multiple clients to train a shared global model without exposing raw data. Accurately estimating each client's contribution is e…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.